U.S. patent application number 17/278528 was filed with the patent office on 2022-01-27 for system and method for distributing revenue among users based on quantified and qualified emotional data.
The applicant listed for this patent is Steve CURTIS. Invention is credited to Steve CURTIS.
Application Number | 20220026988 17/278528 |
Document ID | / |
Family ID | 1000005943874 |
Filed Date | 2022-01-27 |
United States Patent
Application |
20220026988 |
Kind Code |
A1 |
CURTIS; Steve |
January 27, 2022 |
SYSTEM AND METHOD FOR DISTRIBUTING REVENUE AMONG USERS BASED ON
QUANTIFIED AND QUALIFIED EMOTIONAL DATA
Abstract
A system and method for distributing revenue among users based
on quantified emotional data and qualified emotional data of the
corresponding users. The method includes the step of collecting
biorhythm data of the user through a wearable user device. The
method includes the step of receiving the biorhythm data through a
computing unit. The method includes the step of analyzing the
received biorhythm data and computing an emotional score of each
user through an algorithmic module. The method includes the step of
monitoring the emotional score of each user through a tracking
module. The method includes the step of sending a referral to
potential users to perform actions pertaining to a platform and
product through a referral module. The method includes the step of
computing individual total sub score for each user using the
quantified emotional data and the qualified emotional data for an
interval of time through a first computation module. The method
includes the step of computing one or more subtotal scores based on
calculations performed on the referrals of each user and a
plurality of related referrals corresponding to each user through
an nth computation module. The nth computation module computes the
subtotal scores for each user based on data of the individual user
on the platform. The method includes the step of combining the
individual subtotal score computed by the first computation module
and subtotal score computed by the nth computation module to obtain
a single score for each user through a final computation module.
The method includes the step of generating revenue when the
potential users perform actions pertaining to the platform and the
product and distribute a predefined amount of money to each user
based on a plurality of parameters through a revenue distribution
module.
Inventors: |
CURTIS; Steve; (Vancouver,
CA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
CURTIS; Steve |
Vancouver |
|
CA |
|
|
Family ID: |
1000005943874 |
Appl. No.: |
17/278528 |
Filed: |
September 21, 2019 |
PCT Filed: |
September 21, 2019 |
PCT NO: |
PCT/IB2019/058004 |
371 Date: |
March 22, 2021 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
|
62734471 |
Sep 21, 2018 |
|
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
A61B 5/6802 20130101;
G06F 3/015 20130101; G06Q 30/0601 20130101; A61B 5/165
20130101 |
International
Class: |
G06F 3/01 20060101
G06F003/01; A61B 5/16 20060101 A61B005/16; A61B 5/00 20060101
A61B005/00; G06Q 30/06 20060101 G06Q030/06 |
Claims
1. A system to distribute revenue among a plurality of users based
on at least one of a quantified emotional data and a qualified
emotional data of the corresponding users, the system comprising: a
wearable user device to collect biorhythm data of the user; and a
computing unit is communicatively connected with the wearable user
device to receive the biorhythm data of the users over a
communication network, wherein the computing unit comprising: a
processor; and a memory communicatively coupled to the processor,
wherein the memory stores instructions executed by the processor,
wherein the memory comprising: an algorithmic module to analyze the
received biorhythm data and compute an emotional score of each
user; a tracking module to monitor the emotional score of each
user; a referral module enables the user to send one or more
referrals to a plurality of potential users to perform a plurality
of actions pertaining to a platform and a product; a first
computation module to compute an individual subtotal score for each
user using the quantified emotional data and the qualified
emotional data for an interval of time; an nth computation module
to compute at least one subtotal score based on calculations
performed on the referrals of each user and a plurality of related
referrals corresponding to each user and one or more subtotals
based on a plurality of other parameters, wherein the nth
computation module computes the subtotal scores for each user based
on data of the individual user on the platform; a final computation
module to combine the individual subtotal score computed by the
first computation module and the one or more subtotal scores
computed by the nth computation module to obtain a single score for
each user; and a revenue distribution module to generate revenue
when the potential users perform the plurality of actions
pertaining to the platform and the product, wherein the revenue
distribution module distributes a predefined amount of money to
each user based on a plurality of parameters, wherein the
parameters comprising at least one of: the computed emotional data
scores of the users; and a calculation involving other user's
scores present in a network of the user on the platform.
2. The system according to claim 1, wherein the wearable user
device comprises a plurality of sensors to detect one or more
parameters pertaining to emotions of the user.
3. The system according to claim 1, wherein the referral module
facilitate the users to track status of the sent referrals and one
or more received referrals.
4. The system according to claim 1, wherein the referral module
facilitates the users associated with the referrals to establish a
communication with each other.
5. The system according to claim 1, wherein the plurality of
actions comprising access to the platform, and purchase of the
product.
6. The system according to claim 1, wherein the potential users
performs the actions by clicking on the referral.
7. A method for distributing revenue among a plurality of users
based on at least one of a quantified emotional data and a
qualified emotional data of the corresponding users, the method
comprising steps of: collecting biorhythm data of the user through
a wearable user device; receiving the biorhythm data of the users
through a computing unit communicatively connected with the
wearable user device over a communication network; analyzing the
received biorhythm data and computing an emotional score of each
user through an algorithmic module; monitoring the emotional score
of each user through a tracking module; sending one or more
referrals to a plurality of potential users to perform a plurality
of actions pertaining to a platform and a product through a
referral module; computing an individual subtotal score for each
user using the quantified emotional data and the qualified
emotional data for an interval of time through a first computation
module; computing at least one subtotal score based on calculations
performed on the referrals of each user and a plurality of related
referrals corresponding to each user and one or more subtotals
based on a plurality of other parameters through an nth computation
module, wherein the nth computation module computes the subtotal
scores for each user based on data of the individual user on the
platform; combining the individual subtotal score computed by the
first computation module and the one or more subtotal scores
computed by the nth computation module to obtain a single score for
each user through a final computation module; generating revenue
when the potential users perform the plurality of actions
pertaining to the platform and the product through a revenue
distribution module; and distributing a predefined amount of money
to each user based on a plurality of parameters through the revenue
distribution module, wherein the parameters comprising at least one
of: the computed emotional data scores of the users; and a
calculation involving other user's scores present in a network of
the user on the platform.
8. The method according to claim 1, wherein the wearable user
device comprises a plurality of sensors to detect one or more
parameters pertaining to emotions of the user.
9. The method according to claim 1, wherein the referral module
facilitates the users to track status of the sent referrals and one
or more received referrals.
10. The method according to claim 1, wherein the referral module
facilitates the users associated with the referrals to establish a
communication with each other.
11. The method according to claim 1, wherein the plurality of
actions comprising access to the platform, and purchase of the
product.
12. The method according to claim 1, wherein the potential users
perform the actions by clicking on the referral.
Description
TECHNICAL FIELD
[0001] The present invention relates to an integrated revenue
sharing platform, in particular to a system and method for
distributing revenue among users based on quantified emotional data
and/or qualified emotional data of the corresponding users.
BACKGROUND ART
[0002] Traditionally, word of mouth marketing/advertising of a
business is based on the referrals given by the existing users to
new users. Further, organizations use business models to
financially reward the users on successfully referring the other
users to use the business's products/services. These business
models are beneficial for the organizations and the users that
participate in the referral programs. However, most of the revenue
sharing methods are based on the referring total product volume or
sales numbers. Further, the existing revenue sharing methods
prioritize and incentivize absolute product sales before the actual
needs of customers. Additionally, the existing revenue sharing
systems and methods do not consider the emotional state of a user
to provide any incentive or revenue. Also, the existing systems and
method financially reward users that can create negative
cooperation between the users. Most of the existing systems and
methods in the medical domain do not utilize digital referral
programs to financial reward the users for referrals.
[0003] U.S. Pat. No. 10,120,413 B2 filed by Aimone et al. discloses
a training apparatus with an input device and a wearable computing
device with a bio-signal sensor and a display to provide an
interactive VR environment for a user. The bio-signal sensor
receives bio-signal data from the user. The bio-signal sensor
includes a brainwave sensor. VR may provide a computer-simulated
experience that replicates, creates or enhances an environment that
simulates physical presence in places in the real or non-real
world. However, the training apparatus disclosed in Aimone et al.
reference does not directly reinforce or incentivize the user to
urge others to interact with the training apparatus.
[0004] U.S. Pat. No. 9,983,670 B2 filed by Coleman et al. discloses
a training method for enabling users to learn how to control their
brainwaves so as to enable the use of BCIs. The method decreases
the learning curve for using a BCI. The method identifies
characteristics of a user's brain state to determine the user's
cognitive or emotional state regardless of the user's ability to
control a BCI. However, the training method disclosed in Coleman et
al. reference is not effective because it does not encourage or
reward other potential users to adopt the disclosed training
method.
[0005] Therefore there is a need for a system and method that
strongly incentivize the users to introduce the system to other
potential users. As the system has to support the health and
wellness of the users, the system needs to be compelling--supported
by a strong revenue-distribution financial model. There is a need
to reinforce healthy behaviors measured and rewarded based on
quantified and qualified emotional data collected on each user.
There is also a need for a system and method for distributing
revenue among users based on a quantified and qualified emotional
data of the corresponding users. Further, there is a need for a
system and method for distributing revenue among users based on an
optimal experience of the users out of a product or a platform.
Furthermore, there is a need for a system and method to incentivize
the user based on the emotional improvement of the user, a positive
mental state of the user, and an emotional score of the user.
[0006] Thus, in view of the above, there is a long-felt need in the
industry to address the aforementioned deficiencies and
inadequacies.
[0007] Further limitations and disadvantages of conventional and
traditional approaches will become apparent to one of skill in the
art through comparison of described systems with some aspects of
the present disclosure, as set forth in the remainder of the
present application and with reference to the drawings.
SUMMARY OF INVENTION
[0008] A system to distribute revenue among a plurality of users
based on at least one of a quantified emotional data and a
qualified emotional data of the corresponding users is provided
substantially, as shown in and/or described in connection with at
least one of the figures, as set forth more completely in the
claims.
[0009] The present invention provides a method for distributing
revenue among a plurality of users based on at least one of a
quantified emotional data and a qualified emotional data of the
corresponding users. The method includes the step of collecting
biorhythm data of the user through a wearable user device
configured to be worn on the user's body, near the body, or placed
in the user's body (implantable). The method includes the step of
receiving the biorhythm data of the users through a computing unit
communicatively connected with the wearable user device over a
communication network. The method includes the step of analyzing
the received biorhythm data and computing an emotional score of
each user through an algorithmic module. The method includes the
step of monitoring the emotional score of each user through a
tracking module. The method includes the step of sending a referral
to a plurality of potential users to perform a plurality of actions
pertaining to a platform and a product through a referral module.
The method includes the step of computing individual total sub
score for each user using the quantified emotional data and the
qualified emotional data for an interval of time through a first
computation module. The method includes the step of computing at
least one subtotal score based on calculations performed on the
referrals of each user and a plurality of related referrals
corresponding to each user and one or more subtotals based on a
plurality of other parameters through an nth computation module.
The nth computation module computes the subtotal scores for each
user based on data of the individual user on the platform. In an
aspect, the method identifies all the referred users connected to
each user and computes a score for each based on set parameters.
For example, this may include a plurality of first-generation
referrals, a plurality of second-generation referrals, a plurality
of third-generation referrals, and a plurality of nth generation
referrals. Once the relevant referred users are identified,
different calculations may be used to determine a score for each
referred user identified. For instance, third-generation referrals
may be multiplied by a smaller weight than first-generation
referrals. The nth computation module also computes other types of
subtotal scores based on the user's data or actions. The method
includes the step of combining the individual subtotal score
computed by the first computation module and the one or more
subtotal scores computed by the nth computation module to obtain a
single score for each user through a final computation module.
Various orders of operations may be used to perform this
calculation. The method includes the step of generating revenue
when the potential users perform the plurality of actions
pertaining to the platform and the product through a revenue
distribution module. The method includes the step of distributing a
predefined amount of money to each user based on a plurality of
parameters through the revenue distribution module. The parameters
comprising at least one of the computed emotional data scores of
the users, and a calculation involving other user's scores present
in the user's network on the platform.
[0010] In an aspect, the wearable user device includes various
sensors to detect one or more parameters pertaining to the emotions
of the user.
[0011] In an aspect, the referral module facilitates the users to
track the status of the sent referrals and one or more received
referrals.
[0012] In an aspect, the referral module facilitates the users
associated with the referrals to establish communication with each
other.
[0013] In an aspect, the plurality of actions includes access to
the platform and purchase of the product.
[0014] In an aspect, the potential users perform the actions by
clicking on the referral.
[0015] Another aspect of the present invention relates to a system
to distribute revenue among a plurality of users based on at least
one of a quantified emotional data and a qualified emotional data
of the corresponding users. The system includes a wearable user
device and a computing unit. The wearable user device configured to
be worn on the user's body to collect biorhythm data of the user.
The computing unit is communicatively connected with the wearable
user device to receive the biorhythm data of the users over a
communication network. The computing unit includes a processor, and
a memory communicatively coupled to the processor. The memory
includes an algorithmic module, a tracking module, a referral
module, a first computation module, an nth computation module, a
final computation module, and a revenue distribution module. The
algorithmic module analyzes the received biorhythm data and
computes an emotional score of each user. The tracking module
monitors the emotional score of each user. The referral module
enables the user to send a referral to a plurality of potential
users to perform a plurality of actions pertaining to a platform
and a product. In an embodiment, the referrals may be sent in
various formats such as a hyperlink which can be encoded into an
image, a video, a QR code, a sound byte, an ID, a barcode or any
other format that is in the hyperlink link form or delivers to a
given web address.
[0016] The first computation module computes individual total
subscore for each user using the quantified emotional data and the
qualified emotional data for an interval of time. The nth
computation module computes at least one subtotal score based on
calculations performed on the referrals of each user and a
plurality of related referrals corresponding to each user and one
or more subtotals based on a plurality of other parameters. The nth
computation module computes the subtotal scores for each user based
on data of the individual user on the platform. The final
computation module combines the individual subtotal score computed
by the first computation module and the subtotal score computed by
the nth computation module to obtain a single score for each user.
Various orders of operations may be used to perform this
calculation. The revenue distribution module generates revenue when
the potential users perform the plurality of actions pertaining to
the platform and the product. The revenue distribution module
distributes a predefined amount of money to each user based on a
plurality of parameters. The parameters include but not limited to
the computed emotional data scores of the users, and a calculation
involving other user's scores present in the user's network on the
platform.
[0017] Accordingly, one advantage of the present invention is that
it provides a transparent revenue sharing platform based on the
referrals and emotion-based score.
[0018] Accordingly, one advantage of the present invention is that
it improves the user's decision-making capabilities, focus on
tasks, and productivity.
[0019] Accordingly, one advantage of the present invention is that
it enables the users to periodically monitor their emotional state
to receive increased revenue over a time which theoretically leads
to reduced illness and improved mental health.
[0020] Accordingly, one advantage of the present invention is that
it compels the users to positively interact with the other users
and improves the emotional health of the users to elevate their
scores and generate additional revenue
[0021] Accordingly, one advantage of the present invention is that
it improves the life of the users and enables organizations as well
as the users to earn money along with the proliferation of the
product and platform.
[0022] Accordingly, one advantage of the present invention is that
it incentivizes the users to use and promote the platform.
[0023] Accordingly, one advantage of the present invention is that
it includes various methods of transmission of the referrals
includes but not limited to text message (SMS), social media posts
and messages, and embedded links in images and video.
[0024] Other features of embodiments of the present invention will
be apparent from accompanying drawings and from the detailed
description that follows.
[0025] Yet other objects and advantages of the present invention
will become readily apparent to those skilled in the art following
the detailed description, wherein the preferred embodiments of the
invention are shown and described, simply by way of illustration of
the best mode contemplated herein for carrying out the invention.
As we realized, the invention is capable of other and different
embodiments, and its several details are capable of modifications
in various obvious respects, all without departing from the
invention. Accordingly, the drawings and description thereof are to
be regarded as illustrative in nature, and not as restrictive.
BRIEF DESCRIPTION OF DRAWINGS
[0026] In the figures, similar components and/or features may have
the same reference label. Further, various components of the same
type may be distinguished by following the reference label with a
second label that distinguishes among the similar components. If
only the first reference label is used in the specification, the
description applies to any one of the similar components having the
same first reference label irrespective of the second reference
label.
[0027] FIG. 1
[0028] FIG. 1 illustrates a block diagram of the present system to
distribute revenue among a plurality of users based on at least one
of a quantified emotional data and a qualified emotional data of
the corresponding users, in accordance with one embodiment of the
present invention.
[0029] FIG. 2
[0030] FIG. 2 illustrates a block diagram of the various modules
within a memory of a computing unit, in accordance with another
embodiment of the present invention.
[0031] FIG. 3
[0032] FIG. 3 illustrates a flowchart of the method for
distributing revenue among a plurality of users based on at least
one of a quantified emotional data and a qualified emotional data
of the corresponding users, in accordance with an alternative
embodiment of the present invention.
DESCRIPTION OF EMBODIMENTS
[0033] The present disclosure is best understood with reference to
the detailed figures and description set forth herein. Various
embodiments have been discussed with reference to the figures.
However, those skilled in the art will readily appreciate that the
detailed descriptions provided herein with respect to the figures
are merely for explanatory purposes, as the methods and systems may
extend beyond the described embodiments. For instance, the
teachings presented and the needs of a particular application may
yield multiple alternate and suitable approaches to implement the
functionality of any detail described herein. Therefore, any
approach may extend beyond certain implementation choices in the
following embodiments.
[0034] References to "one embodiment," "at least one embodiment,"
"an embodiment," "one example," "an example," "for example," and so
on indicate that the embodiment(s) or example(s) may include a
particular feature, structure, characteristic, property, element,
or limitation but that not every embodiment or example necessarily
includes that particular feature, structure, characteristic,
property, element, or limitation. Further, repeated use of the
phrase "in an embodiment" does not necessarily refer to the same
embodiment.
[0035] Methods of the present invention may be implemented by
performing or completing manually, automatically, or a combination
thereof, selected steps or tasks. The term "method" refers to
manners, means, techniques and procedures for accomplishing a given
task including, but not limited to, those manners, means,
techniques, and procedures either known to, or readily developed
from known manners, means, techniques and procedures by
practitioners of the art to which the invention belongs. The
descriptions, examples, methods, and materials presented in the
claims and the specification are not to be construed as limiting
but rather as illustrative only. Those skilled in the art will
envision many other possible variations within the scope of the
technology described herein.
[0036] FIG. 1 illustrates a block diagram of the present system 100
to distribute revenue among a plurality of users based on at least
one of a quantified emotional data and a qualified emotional data
of the corresponding users, in accordance with one embodiment of
the present invention. The system 100 includes a wearable user
device 102, and a computing unit 104.
[0037] The wearable user device 102 is configured to be worn on the
user's 116 body, near the body, or placed in the user's 116 body
(implantable) to collect biorhythm data of the user 116. Examples
of the wearable user device 102 include but not limited to the
implantable, wireless sensor device, smartwatch, smart jewelry,
fitness tracker, smart cloth, etc. In an embodiment, the wearable
user device 102 includes various sensors to detect one or more
parameters pertaining to the emotions of the user 116. In an
embodiment, the wearable user device 102 may include a flexible
body that can be secured around the user's body to collect the
biorhythm data. In an embodiment, and the wearable user device 102
may include a securing mechanism to secure the wearable user device
102 may in a closed loop around a wrist of the user 116. The
wearable user device 102 may utilize various wired or wireless
communication protocols to establish communication with the
computing unit 104.
[0038] The computing unit 104 is communicatively connected with the
wearable user device 102 to receive the biorhythm data of the users
116 over a communication network 106. Communication network 106 may
be a wired or a wireless network, and the examples may include but
are not limited to the Internet, Wireless Local Area Network
(WLAN), Wi-Fi, Long Term Evolution (LTE), Worldwide
Interoperability for Microwave Access (WiMAX), General Packet Radio
Service (GPRS), Bluetooth (BT) communication protocols,
Transmission Control Protocol and Internet Protocol (TCP/IP), User
Datagram Protocol (UDP), Hypertext Transfer Protocol (HTTP), File
Transfer Protocol (FTP), ZigBee, EDGE, infrared (IR), Z-Wave,
Thread, 5G, USB, serial, RS232, NFC, RFID, WAN, and/or IEEE 802.11,
802.16, 2G, 3G, 4G cellular communication protocols
[0039] Examples of the computing unit 104 include but not limited
to a laptop, a desktop, a smartphone, a smart device, a smartwatch,
a phablet, and a tablet. The computing unit 104 includes a
processor 108, a memory 110 communicatively coupled to the
processor, and a user interface 112. The computing unit 104 is
communicatively coupled with a database 114. The database 114
receives, stores, and processes the emotional data and referral
data which can be used for further analysis and prediction so that
the present system can learn and improve the analysis by using the
historical emotional data and referral data. Although the present
subject matter is explained considering that the present system 100
is implemented on a cloud device, it may be understood that the
present system 100 may also be implemented in a variety of
computing systems, such as an Amazon elastic compute cloud (Amazon
EC2), a network server, and the like.
[0040] Processor 108 may include at least one data processor for
executing program components for executing user- or
system-generated requests. A user may include a person, a person
using a device such as those included in this invention, or such a
device itself. Processor 108 may include specialized processing
units such as integrated system (bus) controllers, memory
management control units, floating-point units, graphics processing
units, digital signal processing units, etc.
[0041] Processor 108 may include a microprocessor, such as AMD.RTM.
ATHLON.RTM. microprocessor, DURON.RTM. microprocessor OR
OPTERON.RTM. microprocessor, ARM's application, embedded or secure
processors, IBM.RTM. POWERPC.RTM., INTEL'S CORE.RTM. processor,
ITANIUM.RTM. processor, XEON.RTM. processor, CELERON.RTM. processor
or other line of processors, etc. Processor 108 may be implemented
using mainframe, distributed processor, multi-core, parallel, grid,
or other architectures. Some embodiments may utilize embedded
technologies like application-specific integrated circuits (ASICs),
digital signal processors (DSPs), Field Programmable Gate Arrays
(FPGAs), etc.
[0042] Processor 108 may be disposed of in communication with one
or more input/output (I/O) devices via an I/O interface. I/O
interface may employ communication protocols/methods such as,
without limitation, audio, analog, digital, RCA, stereo, IEEE-1394,
serial bus, universal serial bus (USB), infrared, PS/2, BNC,
coaxial, component, composite, digital visual interface (DVI),
high-definition multimedia interface (HDMI), RF antennas, S-Video,
VGA, IEEE 802.n/b/g/n/x, Bluetooth, cellular (e.g., code-division
multiple access (CDMA), high-speed packet access (HSPA+), global
system for mobile communications (GSM), long-term evolution (LTE),
WiMax, or the like), etc.
[0043] Memory 110, which may be a non-volatile memory or a volatile
memory. Examples of non-volatile memory may include but are not
limited to flash memory, a Read-Only Memory (ROM), a Programmable
ROM (PROM), Erasable PROM (EPROM), and Electrically EPROM (EEPROM)
memory. Examples of volatile memory may include but are not limited
Dynamic Random Access Memory (DRAM), and Static Random-Access
memory (SRAM).
[0044] The user interface 112 may present the quantified emotional
data and qualified emotional data as per the request of an
administrator of the present system. In an embodiment, the user
interface (UI or GUI) 112 is a convenient interface for accessing
the platform and viewing the products or services.
[0045] FIG. 2 illustrates a block diagram of the various modules
within a memory 110 of a computing unit 104, in accordance with
another embodiment of the present invention. FIG. 2 is explained in
conjunction with FIG. 1. The memory 110 includes an algorithmic
module 202, a tracking module 204, a referral module 206, a first
computation module 208, an nth computation module 210, a final
computation module 214, and a revenue distribution module 212. In
an embodiment, the memory 110 may independently function as a cloud
server to process the functionalities of the modules.
[0046] The algorithmic module 202 analyzes the received biorhythm
data and compute an emotional score of each user. The tracking
module 204 monitors the emotional score of each user. In an
embodiment, the algorithmic module 202 is an algorithm which can be
executed on various operating systems such as Android, IOS,
Windows, and Linux, etc.
[0047] The referral module 206 enables the user to send a referral
to a plurality of potential users to perform a plurality of actions
pertaining to a platform and a product. In an embodiment, the
referral module facilitates the users to track the status of the
sent referrals and one or more received referrals. In an
embodiment, the referral is exclusive for each potential users. In
an embodiment, the referral module 206 facilitates the users
associated with the referrals to establish communication with each
other. In an embodiment, the actions include but not limited to
access to the platform and purchase of the product. In an
embodiment, the potential users perform the actions by clicking on
the referral.
[0048] The first computation module 208 computes individual total
subscore for each user using the quantified emotional data and the
qualified emotional data for an interval of time. Thus individual
total scores for each user using the qualitative emotional data,
quantitative emotional data and other health data for an interval
of time are computed by the first computation module 208. The
interval of time could be a week or a month or a year, and these
total scores may be calculated periodically e.g. on a monthly
basis.
[0049] The nth computation module 210 computes at least one
subtotal score based on calculations performed on the referrals of
each user and a plurality of related referrals corresponding to
each user and one or more subtotals based on a plurality of other
parameters. The nth computation module 210 computes the subtotal
scores for each user based on data of the individual user on the
platform. In an embodiment, the nth computation module 210
identifies all the referred users connected to each user and
computes a score for each based on set parameters. For example,
this may include a plurality of first-generation referrals, a
plurality of second-generation referrals, a plurality of
third-generation referrals, and a plurality of nth generation
referrals. Once the relevant referred users are identified,
different calculations may be used to determine a score for each
referred user identified. For instance, third-generation referrals
may be multiplied by a smaller weight than first-generation
referrals. The nth computation module 210 also computes other types
of subtotal scores based on the user's data or actions. The final
computation module 214 combines the individual subtotal score
computed by the first computation module and one or more subtotal
scores computed by the nth computation module to obtain a single
score for each user. Various orders of operations may be used to
perform this calculation.
[0050] The revenue distribution module 212 determines a pool of
revenue to be allocated for distribution among the users and pulled
from one or more company or third party revenue streams. The amount
is a portion, percentage, or some calculated amount that is derived
from the one or more revenue streams. The revenue distribution
module 212 may use various computation methods or equations for
different revenue streams. The computation also only takes into
consideration revenue from a specific period of time. For example,
the computation can be performed over a weekly, biweekly, monthly,
or quarterly period. The total revenue for this period would then
be split amongst qualifying users based upon further
parameters.
[0051] Further, the revenue distribution module 212 distributes a
predefined amount of money to each user based on a plurality of
parameters. This may reward the users who perform better on the
platform (have higher individual scores). Higher scores may be
achieved by exhibiting/producing healthier physiological data--an
outcome of consistent healthier behaviors and habits. Furthermore,
the revenue distribution module 212 may set the reward in a way
that the users receive the most credit for referring users to the
platform. Less credit may be given to new users who sign up through
down-chain referrals (second, third or nth level referrals).
[0052] FIG. 3 illustrates a flowchart 300 of the method for
distributing revenue among a plurality of users based on at least
one of a quantified emotional data and a qualified emotional data
of the corresponding users, in accordance with an alternative
embodiment of the present invention. The method includes the step
302 of collecting biorhythm data of the user through a wearable
user device configured to be worn on the user's body, near the
body, or placed in the user's body (implantable). In an embodiment,
the wearable user device includes various sensors to detect one or
more parameters pertaining to the emotions of the user. In an
embodiment, the wearable user device may include a flexible body
that can be secured around the user's body to collect biorhythm
data.
[0053] The method includes the step 304 of receiving the biorhythm
data of the users through a computing unit communicatively
connected with the wearable user device over a communication
network. The method includes the step 306 of analyzing the received
biorhythm data and computing an emotional score of each user
through an algorithmic module. The method includes the step 308 of
monitoring the emotional score of each user through a tracking
module.
[0054] The method includes step 310 of sending a referral to a
plurality of potential users to perform a plurality of actions
pertaining to a platform and a product through a referral module.
In an embodiment, the referral module facilitates the users to
track the status of the sent referrals and one or more received
referrals. In an embodiment, the referral is exclusive for each
potential users. In an embodiment, the referral module facilitates
the users associated with the referrals to establish communication
with each other. In an embodiment, the plurality of actions
includes access to the platform and purchase of the product. In an
embodiment, the potential users perform the actions by clicking on
the referral.
[0055] The method includes the step 312 of computing individual
total sub score for each user using the quantified emotional data
and the qualified emotional data for an interval of time through a
first computation module. The method includes the step 314 of
computing at least one subtotal score based on calculations
performed on the referrals of each user and a plurality of related
referrals corresponding to each user and one or more subtotals
based on a plurality of other parameters through an nth computation
module. The nth computation module computes the subtotal scores for
each user based on data of the individual user on the platform. In
an aspect, the method identifies all the referred users connected
to each user and computes a score for each based on set parameters.
For example, this may include a plurality of first-generation
referrals, a plurality of second-generation referrals, a plurality
of third-generation referrals, and a plurality of nth generation
referrals. Once the relevant referred users are identified,
different calculations may be used to determine a score for each
referred user identified. For instance, third-generation referrals
may be multiplied by a smaller weight than first-generation
referrals. The nth computation module also computes other types of
subtotal scores based on the user's data or actions. The method
includes the step 316 of combining the individual subtotal score
computed by the first computation module and one or more subtotal
scores computed by the nth computation module to obtain a single
score for each user through a final computation module. Various
orders of operations may be used to perform this calculation.
[0056] The method includes the step 318 of generating revenue when
the potential users perform the plurality of actions pertaining to
the platform and the product through a revenue distribution module.
The method includes the step 320 of distributing a predefined
amount of money to each user based on a plurality of parameters
through the revenue distribution module. The parameters comprising
at least one of the computed emotional data scores of the users,
and a calculation involving of other user's scores present in the
user's network on the platform.
[0057] Thus the present system and method provide a revenue-sharing
and reward-based platform by which the users of the present
wearable user device can generate revenue for themselves based on a
plurality of predefined parameters. Further, the revenue-sharing
and reward-based platform reward the users financially for optimum
utilization of the system.
[0058] While embodiments of the present invention have been
illustrated and described, it will be clear that the invention is
not limited to these embodiments only. Numerous modifications,
changes, variations, substitutions, and equivalents will be
apparent to those skilled in the art, without departing from the
scope of the invention, as described in the claims.
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